TrueFoundry

TrueFoundry

Forward Deployed Engineer - GTM

United States

Sponsorship not specifiedDetected 2 days ago
PythonGoAWSGCPAzureKubernetesMachine LearningLLMsMLOpsAI OrchestrationCustomer SupportLeadership

About the role

  • The Problem We're Solving Companies are moving beyond simple chatbots to production agentic systems.

Responsibilities

  • Own the technical arc of the deal: discovery and the in-depth demo, the architecture discussion with the customer's engineering leaders, and the POC - all the way through to close.
  • Business Acumen: You don't just question the how but also the why - discovering impact, architecture design and deal-winning opportunities.
  • Design and Architecture: Comfortable leading an architecture discussion with a customer's engineering leaders, then doing the work yourself. High agency and a bias for action.
  • Leadership ladder: Lead FDSE to Head of FDSE, building and running the function.
  • Cross-functional: the role builds the breadth that leads to CTO, VP of Engineering, and founder paths. Many FDSE alumni have gone on to start their own companies.
  • You don't just question the how but also the why - discovering impact, architecture design and deal-winning opportunities.
  • the role builds the breadth that leads to CTO, VP of Engineering, and founder paths.
  • Many FDSE alumni have gone on to start their own companies.

Requirements

  • 3 to 7 years of backend software engineering experience with production systems you have shipped and owned.
  • You are the technical decision-maker in the room - the CTO in the room - and the person their engineering leaders trust.
  • Backend Engineering Experience: 3 to 7 years of backend software engineering experience with production systems you have shipped and owned.

Nice to have

  • You have worked with LLMs, agents, evals, or ML pipelines in production.
  • Familiarity with the modern stack (vLLM, SGLang, LangChain, Triton, model serving) is a strong plus.
  • AI and ML literacy: You have worked with LLMs, agents, evals, or ML pipelines in production.

Skills

  • About TrueFoundry
  • A way to orchestrate agents and enforce governance.
  • A unified compute layer to run it all.
  • That infrastructure layer is being built right now.
  • The Problem We're Solving
  • Companies are moving beyond simple chatbots to production agentic systems.
  • These systems route between OpenAI, Anthropic, Google, and self-hosted models.
  • They integrate dozens of tools via protocols like MCP.
  • They orchestrate multi-agent workflows where agents coordinate with other agents.
  • The infrastructure to support this doesn't exist yet.
  • Intelligent routing with observability, cost policies, and fallback logic
  • Centralized tool and MCP server management with security and lifecycle controls

Benefits

  • Join a fast-growing Series A, Bay Area-based startup building cutting-edge AI infrastructure.
  • Comprehensive health insurance for you and your family, including medical, dental, and vision coverage.
  • 401(k) retirement plan.
  • Perks of Working at TrueFoundry
  • Flexible hybrid work, 2 days a week in the office (Tuesday & Wednesday), with flexibility around the schedule.

Company info

  • Make the architecture calls that decide how the customer would run AI in production. You are the technical decision-maker in the room - the CTO in the room - and the person their engineering leaders trust.
  • Be the technical face of TrueFoundry to enterprise customers, and earn the credibility that turns an evaluation into a signed contract.
  • Steer the product. You see, first-hand, what customers pull toward and where their first production win lands. Compile that field signal and bring structured, data-backed asks to TrueFoundry's engineering and product teams - your intuition helps shape the roadmap.
  • You see, first-hand, what customers pull toward and where their first production win lands.
  • Who we're looking for
  • Traits we are looking for: Ownership, ability to execute, hustle and think out of the box, data driven decision making, be comfortable with more unknowns than knowns.

This listing is sourced directly from TrueFoundry's careers page and normalized into a canonical job model.